E. Kőrös
Impact in
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation
- Biophysics top 1%
- Chemical and Physical Studies
Papers in
-
- Nonlinear Dynamics and Pattern Formation 38
- Biophysics 18
- Chemical and Physical Studies 17
- Co-authors
- Richard M. Noyes (5 shared papers)Richard J. Field (3 shared papers)Miklós Orbán (9 shared papers)István Szalai (5 shared papers)Margit Varga (14 shared papers)Richard Field (1 shared paper)Peter Ruoff (7 shared papers)S. Martin Nelson (2 shared papers)
In The Last Decade
E. Kőrös
56 papers receiving 2.1k citations
E. Kőrös's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 1.6k
- Biophysics 299
- Catalysis 246
- Electrochemistry 163
- Statistical and Nonlinear Physics 326
Countries citing papers authored by E. Kőrös
This map shows the geographic impact of E. Kőrös's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Kőrös with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kőrös more than expected).
Fields of papers citing papers by E. Kőrös
This network shows the impact of papers produced by E. Kőrös. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Kőrös. The network helps show where E. Kőrös may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Kőrös, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oscillations in chemical systems. II. Thorough analysis of temporal oscillation in the bromate-cerium-malonic acid system Hit paper breakdown → | 1972 | 1133 |
| 2 | 1972 | 133 | |
| 3 | 1978 | 95 | |
| 4 | 1974 | 67 | |
| 5 | 1978 | 66 | |
| 6 | 1979 | 63 | |
| 7 | 1963 | 59 | |
| 8 | 1998 | 50 | |
| 9 | 1980 | 36 | |
| 10 | 1995 | 32 | |
| 11 | 1988 | 31 | |
| 12 | 1974 | 30 | |
| 13 | 1996 | 29 | |
| 14 | 1994 | 28 | |
| 15 | 1997 | 25 | |
| 16 | 1985 | 23 | |
| 17 | 1973 | 22 | |
| 18 | 1980 | 22 | |
| 19 | 1989 | 22 | |
| 20 | 1973 | 20 |
About E. Kőrös
E. Kőrös is a scholar working on Computer Networks and Communications, Biophysics, Organic Chemistry, Atomic and Molecular Physics, and Optics and Catalysis, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (38 papers), Chemical and Physical Studies (17 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Ionic liquids properties and applications (9 papers), Slime Mold and Myxomycetes Research (8 papers), Photochemistry and Electron Transfer Studies (7 papers), Photosynthetic Processes and Mechanisms (6 papers) and Electrochemical Analysis and Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Biophysics (299 citations), Catalysis (246 citations), Electrochemistry (163 citations) and Statistical and Nonlinear Physics (326 citations). E. Kőrös has collaborated with scholars based in Hungary, Norway and Germany. Frequent co-authors include Richard M. Noyes, Richard J. Field, Miklós Orbán, István Szalai, Margit Varga, Richard Field, Peter Ruoff, S. Martin Nelson, László Györgyi and Krisztina Kurin‐Csörgei. Their work appears in journals such as The Journal of Physical Chemistry, Nature, Journal of the American Chemical Society, Accounts of Chemical Research and International Journal of Chemical Kinetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.